Nonparametric Bayesian Texture Learning and Synthesis

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Nonparametric Bayesian Texture Learning and Synthesis. Leo Zhu and Bill Freeman Joint work with Chen and Torralba. Outline. Task: Texture Learning and Synthesis Approach: Nonparametric Bayesian Learning and Image Quilting Texture Model: Hierarchical Dirichlet Process + 2D-HMM. - PowerPoint PPT Presentation

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Nonparametric Bayesian Texture Learning and Synthesis

Leo Zhu and Bill FreemanJoint work with Chen and Torralba

Outline

• Task: Texture Learning and Synthesis• Approach: Nonparametric Bayesian Learning

and Image Quilting• Texture Model: Hierarchical Dirichlet Process +

2D-HMM

Texture Analysis and Synthesis

Input Texture

Texture Synthesis

Texture Analysis

Flow Chart

Image Features: Filter Responses

Graphical Model: HDP + 2D-HMM

Learning

Result I: Regular Texture

Result II: Stochastic Texture

Result III: Mixture Texture (natural)

Applications: Aerial Image Analysis

• Automatic terrain categorization and annotation

• Fast satellite map synthesis• Satellite map compression• Fake/random map generation